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Archively.ai

AI review

Every AI description is reviewed by a person.

Archively runs OCR, transcription, captions, keywords, and entity extraction. Each result is an immutable snapshot. Your team accepts, changes, or rejects it field by field before anything publishes.

Human authority

The AI proposes. Your team decides.

AI-assisted description is only trustworthy if a person can see what the machine said and change it. Archively keeps the AI's output as a snapshot and puts every field under human review.

The record remembers the proposal, the decision, and the person who made it.

A reviewer accepts, modifies, or rejects each AI-proposed field.

The review pipeline

Four stages stand between the AI and the public.

Release is not a single step. Each stage has an owner, and the record cannot publish until every owner has done their part.

  1. AI review
  2. Quality review
  3. Rights clearance
  4. Publish

01

AI Operator

Runs the AI on the material and checks the raw output before review begins.

02

Quality Reviewer

Works through the record field by field, accepting, changing, or rejecting each proposal.

03

Rights Officer

Clears access and reuse. Nothing publishes until rights are settled.

04

Publisher

Releases the record. The published version is frozen and kept in history.

What the record keeps

Provenance for the description itself.

01

Immutable AI snapshot

The AI's output is stored as a snapshot the moment it is generated. Review happens against it. It is never edited in place.

02

Attributed history

Every accept, change, and rejection records who did it and when. The AI proposal stays beside the human decision.

03

Frozen published versions

When a record publishes, that version is frozen. Later revisions are kept as new versions, and the full history stays.

Run the AI on your own records and review every field yourself.

A working setup using your records, not a sales presentation.